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H2LFR: a hybrid two-layered feature ranking approach for enhanced data analysis.

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Title: H2LFR: a hybrid two-layered feature ranking approach for enhanced data analysis.
Authors: Balaha, Hossam Magdy1,2, hmbala01@louisville.edu, Hassan, Asmaa El-Sayed3, asmaa_ehassan@mans.edu.eg, Balaha, Magdy Hassan4, magdy.balaha@med.tanta.edu.eg
Source: Knowledge & Information Systems; Sep2025, Vol. 67 Issue 9, p7901-7953, 53p
Database: Applied Science & Technology Source
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        Value: 10.1007/s10115-025-02463-w
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      – Code: eng
        Text: English
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      – TitleFull: H2LFR: a hybrid two-layered feature ranking approach for enhanced data analysis.
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            NameFull: Hassan, Asmaa El-Sayed
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              Text: Sep2025
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              Value: 67
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